BSF vs Avedøre: result 2-1 and analysis
Denmark Series - Group 1Regular Season - 17Kick-off on April 20, 2013 at 01:00 PM (UTC)Ballerup Idrætspark, Ballerup
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What was the result of BSF vs Avedøre?
BSF won 2-1 on April 20, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BSF have 6 wins, 4 draws and 5 defeats; Avedøre have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2013 | Skjold Sæby(away) | 1-1 | Denmark Series - Group 1 |
| Apr 6, 2013 | Skovshoved(home) | 3-1 | Denmark Series - Group 1 |
| Apr 1, 2013 | FA 2000(away) | 1-3 | Denmark Series - Group 1 |
| Nov 3, 2012 | Øresund OKF(away) | 1-1 | Denmark Series - Group 1 |
| Oct 27, 2012 | BGA(home) | 2-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2013 | Kastrup(home) | 1-0 | Denmark Series - Group 1 |
| Apr 6, 2013 | Virum-Sorgenfri(home) | 1-1 | Denmark Series - Group 1 |
| Apr 1, 2013 | Skjold Sæby(away) | 0-1 | Denmark Series - Group 1 |
| Nov 3, 2012 | Skovshoved(away) | 3-0 | Denmark Series - Group 1 |
| Oct 27, 2012 | FA 2000(home) | 1-3 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 3 meetings: 2 BSF wins, 0 draws, 1 Avedøre win.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2012 | Avedøre 1-3 BSF | Denmark Series - Group 1 |
| Apr 21, 2012 | Avedøre 1-2 BSF | Denmark Series - Group 1 |
| Sep 3, 2011 | BSF 0-2 Avedøre | Denmark Series - Group 1 |
How many goals should we expect?
BSF score 2.1 and concede 1.7 goals per match over their last 15; Avedøre score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BSF | 2.1 | 1.7 | 2 | 11/15 | 11/15 |
| Avedøre | 1.1 | 1.9 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about BSF vs Avedøre?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy